Capacity is Not a Number (en)

Why do traditional planning systems struggle with real-world production scheduling? This eBook explores the limitations of MRP and S&OP systems, explaining how capacity planning based on fixed “time buckets” can create inefficiencies on the shop floor. Learn the key differences between planning and scheduling systems—and why advanced scheduling is essential for modern manufacturing operations.

Costs Avoided (en)

We have identified 72 cost drivers and organized them into 14 groups, that can be fully or partially mitigated through the implementation of Daice APS. Not all of these topics will apply equally to every organization, so we encourage you to focus on the areas that are most relevant to your specific operational environment. 

Hybrid Intelligence (en)

Modern manufacturing demands more than spreadsheets and static planning tools. This eBook explores how Hybrid Intelligence is transforming APS by combining AI, advanced algorithms, and mathematical optimization to create faster, smarter, and more adaptive production schedules. Discover how manufacturers are improving delivery performance, reducing waste, and gaining agility in increasingly complex production environments.

Manufacturing Glossary (en)

Manufacturing is filled with technical terms, acronyms, and concepts that can be difficult to navigate. This complete manufacturing glossary brings together the most important definitions used across production, planning, scheduling, supply chain, and operations management. A practical reference designed to help professionals, students, and industry leaders communicate with clarity and confidence.

The Limits of Computation (en)

This eBook provides a comprehensive and accessible exploration of computational complexity theory, covering the foundations of P, NP, NP-Complete, and NP-Hard problems and their impact on science, technology, artificial intelligence, supply chain, and medicine. Through real-world examples, it explains why some problems remain fundamentally difficult — even for the world’s most powerful computers. Beyond mathematics and computer science, the book reflects on the limits of human knowledge, the nature of discovery, and how computational constraints shape our understanding of the universe itself..